{"id":"W4247819568","doi":"10.1515/iupac.83.0361","title":"Enzyme","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Multidisciplinary approach; Field (mathematics); Process (computing); Data science; Management science; Sociology; Biology; Engineering; Linguistics; Social science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485592,0.002736837,0.002068576,0.003823054,0.001163484,0.003946522,0.003373137,0.002056289,0.07056235],"category_scores_gemma":[0.00745938,0.0009028745,0.001788809,0.00719308,0.0005087354,0.002356092,0.002217354,0.003027078,0.1371185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002418788,"about_ca_system_score_gemma":0.003285732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01854937,"about_ca_topic_score_gemma":0.02960777,"domain_scores_codex":[0.9978879,0.0002550894,0.0002902896,0.0007645422,0.0006012199,0.0002009681],"domain_scores_gemma":[0.9970612,0.0006154956,0.0004833145,0.0008863842,0.0007089957,0.0002446366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002090582,0.00003359586,0.002474828,0.002369081,0.0000597352,0.00004276772,0.00003660671,0.0004443006,0.0004198462,0.001836221,0.984468,0.007605891],"study_design_scores_gemma":[0.000115084,0.00001663959,0.004044899,0.0004728127,0.00003905668,0.00008638157,0.00004158014,0.0002739593,0.0005731971,0.001599327,0.9927092,0.00002802704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001515816,0.0002940722,0.0001844639,0.00006707263,0.0000242886,0.0000144159,0.9971166,0.0004635708,0.001683874],"genre_scores_gemma":[0.0003039232,0.0001804037,0.0003869673,0.00005582535,0.00000368967,0.0000493607,0.9980937,0.00007648052,0.0008497479],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07056235,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009039013355653856,"score_gpt":0.3575952415195562,"score_spread":0.3485562281639023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}